Concern at the use of facial recognition technology continues as California lawmakers ban its use for the body cameras used by state and local law enforcement officers. It comes after civil rights campaign group in the US called ACLU ran a picture of every California state legislator through a facial-recognition program that matches facial pictures to a database of 25,000 criminal mugshots. The test saw the facial recognition program falsely flag 26 legislators as criminals. And to make matters worse, more than half of the falsely matched lawmakers were people of colour, according to the ACLU. Officials in San Francisco have already banned the use of facial recognition technology, meaning that local agencies, such as the local police force and other city agencies such as transportation would not be able to utilise the technology in any of their systems.
Artificial Intelligence and Machine Learning are the two major foundations of the cybersecurity industry for the past few years. Some of the people think that both these terms have a similar meaning, but that's just a false notion! Here we will explain a complete insight about how AI and ML are essential for the cybersecurity solutions for your business protection. Artificial intelligence (AI) in the form of information that is based on machines and machine learning is just a sample framework of artificial intelligence. In the concept of machine learning, computers learn on their own.
CORAL GABLES, Fla., August 13, 2019 – What if massive data sets could be accessed and analyzed in just an hour, instead of a day? It could change the field of genomics, help researchers predict impacts of climate change more expediently, and help understand the origins of the universe. Today, the University of Miami (UM) announced that their new supercomputer, Triton, is installed and helping their researchers and analysts explore these possibilities. The new high-performance system uses the same AI-optimized architecture as the most powerful supercomputers in the world, the U.S. Department of Energy's Summit and Sierra supercomputers. The $3.7 million system was assembled and validated distally by IBM and the University's Center for Computational Science (CCS) personnel.
Rep. Will Hurd continues to campaign for an American national strategy around artificial intelligence, and the Texas Republican told FedScoop it's something he hopes to get done before the end of his final term in Congress. After explaining his ideal outline for the strategy during a keynote at the Dell Technologies Forum on Thursday, he told FedScoop, "this is on my list for the next 14 months" before he leaves office. Hurd recently announced he won't run for re-election in 2020. "We have to ensure America leads in artificial intelligence, quantum computing and other technologies that are going to define the course of this century," Hurd said. "That's why government should work on things like a national strategy to coordinate across government and academia and the private sector to advance research and development and adoption of artificial intelligence."
As of today, lots of companies state to assist security firms, the army, in addition to consumers prevent crime and defend their private, homes, and buildings belongings. This particular article intends to offer business leaders in the security space with a concept of what they are able to presently expect from Ai in the business of theirs. We wish this report allows company leaders in security to garner insights they are able to confidently relay to the executive teams of theirs so they are able to make educated choices when thinking about AI adoption. At the minimum, this article intends to serve as a technique of decreasing the time industry leaders in physical security spend researching AI businesses with whom they might (or might not) be keen on working. Evolv Technology claims to offer a physical security system that consists of the Evolve Edgepersonnel threat screening machine that works with the Evolv Pinpoint automated facial recognition application.
"If the computer is this important, why haven't I heard more about it?" "Well, the computer is a relatively new thing, and we're just really getting an appreciation for the full range of its usefulness. Many people think that it's going to spark a revolution that will change the face of the earth almost as much as the first industrial revolution did." The skeptic posing the question is David Wayne, a crusty actor familiar to audiences of the time from movies such as Adam's Rib and TV shows like The Twilight Zone. The two men are cohosts of "The Thinking Machine," a documentary about artificial intelligence aired as part of a CBS series called Tomorrow, which the network produced in conjunction with MIT.
CYBERSECURITY specialists have been betting on artificial intelligence (AI) to defend their organizations against sophisticated cyberattacks for quite a while now -- and it seems as though deep learning and machine learning have the potential to deliver. AI is a broad term that encompasses computer vision, machine learning, and deep learning, and generally offers the ability to mimic human actions, intelligently, and at incredible speed. For hackers trying to "guess" a password, it means AI can not only use "trial and error" to break into a victim's account much faster but also do it intelligently so that that the account doesn't get locked before the right password is guessed. On the other side of the fence, or network, cybersecurity professionals didn't immediately benefit from AI because systems in place don't automatically lend themselves to the technology -- however, experts bet on two niche elements of AI to find a solution. Those niche areas are machine learning and deep learning.
Had the severity grown to crisis levels, Lucas McDonald, a former TV weatherman who leads the chain's emergency operations, might have called in dozens of workers to support the handful who are posted at the division's command center in 24/7 shifts. The full-house team--typically assembled only a few times a year--would help coordinate relief efforts, adjust supply routes and disseminate information to affected stores, a playbook the company has perfected through two exceptionally hectic hurricane seasons. "Right now, we're having conversations with some of our merchants on when the right time to ship more supplies into places like Florida and the Southeast would be ahead of any possible redevelopment from Dorian after it makes its way through Hispaniola," McDonald says. Meanwhile, in Dallas, meteorologists at Southwest Airlines mapped out contingency plans for rerouting and canceling flights given various possible hurricane scenarios. And in the Atlanta nerve center of IBM-owned Weather Company, forecasters relayed storm data and analysis to corporate clients like State Farm, which in turn used it to inform IBM Watson conversational ad units that spread safety information.
Artificial intelligence and machine learning may be ideal for picking up the day-to-day tasks of running enterprises, but still fall flat when it comes to innovation or reacting to unforeseen or one-off events. While enterprise-grade AI is still a ways off, it's incumbent on business and IT leaders to start piloting and exploring the advantages AI potentially offers. That's the word coming out of a recent report from the MIT Task Force on the Work of the Future, which looked at AI as part of a broad range of changes sweeping the employment scene and workplace. "We are a long way from AI systems that can read the news, re-plan supply chains in response to anticipated events like Brexit or trade disputes, and adapt production tasks to new sources of parts and materials," state the report's authors, David Autor of the National Bureau of Economic Research, along with David Mindell and Elisabeth Reynolds, both with MIT. For starters, data – the fuel that propels AI decision-making – is not ready for the leap.
WAUKESHA, Wis.--(BUSINESS WIRE)--GE Healthcare today announced the Food and Drug Administration's 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF), using GE Healthcare's Edison platform, the AI algorithms help to reduce the turn-around time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung. "X-ray – the world's oldest form of medical imaging – just got a whole lot smarter, and soon, the rest of our offerings will too," says Kieran Murphy, President & CEO, GE Healthcare. "GE Healthcare is leading the way in the creation of AI applications for diagnostic imaging and taking what was once a promise and turning it into a reality. By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is just the beginning."